- Create a .bat file with the following lines to start Matlab in AVX2 Mode
Does Matlab perform well on AMD Ryzen?
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TeichEnterich95 on 20 Mar 2017
i want to buy a new CPU for Matlab but I am not sure if the new AMD Ryzen 1800X performs well on matlab. I know that the performance depends on the code you are running, but maybe there are some Ryzen owners out there who could post the results from the "bench" function.
Ned Flanders on 19 Nov 2019
Edited: Ned Flanders on 16 Sep 2020
AMD Ryzen/Threadripper CPUs perform excellent using Matlab since the 2020a Release, or if you perform a very simple tweak with the versions prior to 2020a.
Here is an example of several CPUs based on a matlab performance benchmark script you'll find in the link below.
As said, since Matlab 2020a, you'll have this performance out of the box. For Matlab versions prior to 2020a, please read the link below.
I put together a detailed 'How To' explaining how to do that and included two benchmarks here. Just follow the steps.
You should read it if you want to understand the background. If you ended up here because you are on an older Version on Matlab and have low performance with an AMD setup or you just want to apply the tweak, follow these steps: It will take less than a minute.
Solution 1 (Windows - no admin rights needed):
This is straight forward. You open Notepad, copy and paste the above three lines and save the file as Matlab-AVX2. Notepad will save the file as Matlab-AVX2.txt. Now replace the extension ".txt" with ".bat".
If you double-click that file, Matlab will start the MKL in AVX2 Mode. If you start it the normal way, it will remain as always.
You can also download the .bat file from my highdrive if you trust me (which you of course should not, as I am a random guy in the Internet). If you delete the startup batch file provided in the download or the one you created yourself, its gone and your computer will be as it has been before.
(Optional Download: https://my.hidrive.com/lnk/EHAACFje )
Solution 2 (Windows - admin rights needed): If you are happy with the results (which you will be :-)), you should make the setting permanent by entering MKL_DEBUG_CPU_TYPE=5 into the System Environment Variables. This has several advantages, one of them being that it applies to all instances of Matlab and not just the one opened using the .bat file.
You can do this either by editing the Environmental Variables as shown above, or by opening a command prompt (CMD) with admin rights and typing in:
setx /M MKL_DEBUG_CPU_TYPE 5
Doing this will make the change permanent and available to ALL Programs using the MKL on your system until you delete the entry again from the variables.
LINUX: (Thanks to foreignrobot)
Simply type in a terminal:
and then run matlab from the same terminal.
For benchmarking, you can use this script:
Permanent solution for Linux:
echo 'export MKL_DEBUG_CPU_TYPE=5' >> ~/.profile
will apply the setting profile-wide, so you can launch it either through a terminal or the graphical launcher.
More Answers (3)
Jan on 21 Mar 2017
Edited: Jan on 23 Nov 2019
It depends if the used libraries call FMA3 commands. If so, the Ryzen crashes very fast.
The performance will depend on your programs. If writing to the disk is the bottleneck, the processor will not matter. If your code is parallelized, the number of cores rule. If memory is the limitation, buying a cheaper processor can mean, that you install more RAM. Then benchmarks of Matlab have a limited power only. Therefore I do not think that there is a general answer except for: The Ryzen is good!
As usual I mention, that you only have to wait some years to get a processor with the double performance, but writing efficient code can accelerate a program by a factor of 100 easily.
Robert Lee on 10 May 2017
Ryzen 1700 owner here, can't bench atm but I can update this later if you want one.
Ryzen is only worth it if you want to do parallel pool stuff (multi threaded), otherwise you may aswell get yourself a top end i3.
If you are wanting to do parallel pool stuff I'd be wary, I've had a lot of crashes doing parallel pool simulations with Ryzen that aren't occurring with intel CPUs - can't say with any certainty that Ryzen is to blame though.